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Mastering Python Data Analysis

You're reading from   Mastering Python Data Analysis Become an expert at using Python for advanced statistical analysis of data using real-world examples

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781783553297
Length 284 pages
Edition 1st Edition
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Authors (2):
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Magnus Vilhelm Persson Magnus Vilhelm Persson
Author Profile Icon Magnus Vilhelm Persson
Magnus Vilhelm Persson
Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Chapter 4. Regression

Linear regression is part of the general introduction to experimental techniques; it forms the base for many of the scientific breakthroughs for the last few centuries. We made some short dives into linear regression before, looking at Hubble's law among other things. The previous chapter consisted of looking at distributions, which is an integral part of exploratory data analysis and indeed one of the first steps in gaining insights into the data. All of the things that we have gone through so far are, as you will see, useful in this chapter as well. You are strongly encouraged to experiment and try out these new things in combination with what was learned in the previous chapters. In this chapter, we will cover the following forms of regression:

  • Linear regression
  • Multiple regression
  • Logistic regression

In the simplest formulation, linear regression deals with estimating a variable from another variable. In multiple regression, a variable is estimated from...

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